It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a 15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI is reported to rise to over 70 billion by 2020. Because of AI's business opportunities, hundreds of designers in digital agencies, people who were taught to create products and services that live on the Internet, are starting to build physical products that interact with us, respond to our moods, and make decisions for us. It's a challenge that requires every skill they've learned, plus many they haven't. Still, designers know the basics: The principles of user-centric design lay the groundwork for building a great AI system.

Learning needs to be less like memorization, and more like…Angry Birds. Half of school dropouts name boredom as the number one reason they left. The post is about why the future of education will be about flipping our current model on its head and about how key exponential technologies like AI, VR and gamification are going to drive a revolution in education. In the traditional education system, you start at an "A," and every time you get something wrong, your score gets lower and lower. You start with zero, and every time you come up with something right, your score gets higher and higher.

Hi, I'm planning to make a 5/6 part series to reflect about my experience in University of Washington Machine Learning Specialization in Coursera while I take the five courses: Foundations, Regression, Classification, Clustering, Deep Learning and finish the capstone project. This is the first article in the series. I'll feature the first course Machine Learning Foundations: A Case Study Approach in this article and describe the philosophy behind the'case study approach' with a brief overview of the tools used and reflect on what I've learnt. I hope it will help people who want to use the same specialization.I'm also taking courses in Udacity, Edx and using other resources too, but experience those resources will be described in separate articles. I'm also planning to write a whole separate series on Udacity Machine Learning Nanodegree in recent future.

Learning needs to be less like memorization, and more like…Angry Birds. Half of school dropouts name boredom as the number one reason they left. The post is about why the future of education will be about flipping our current model on its head and about how key exponential technologies like AI, VR and gamification are going to drive a revolution in education. In the traditional education system, you start at an "A," and every time you get something wrong, your score gets lower and lower. You start with zero, and every time you come up with something right, your score gets higher and higher. It completely flips the way we currently learn, and it's addictively fun.

Microsoft is pushing its analytics credentials by detailing how its platforms can be used together to produce output in a way that chief information officers and others can act on, specifically using Power BI to visualise results from the Azure Machine Learning service, now part of the broader Cortana Intelligence Suite. The company said that there has been a lot of interest among customers in using Power BI to visualise the output of an Azure Machine Learning model, and the firm recently published a tutorial showing exactly how this can be accomplished, providing useful pointers for Microsoft customers looking to make the best use of such tools to analyse data. "Imagine if you could have Power BI regularly bring in the latest output of your fraud model or the sentiment for recent tweets about your products," said Justyna Lucznik, programme manager for Microsoft's Power BI team. Microsoft's tutorial naturally assumes that customers are already using multiple Microsoft platforms, such as a cloud-hosted Azure SQL database instance as the source of their data and subscriptions to the PowerBi and Azure ML services, and also use the R language, one of Microsoft's favoured tools for statistical computing, to script all the actions together. The tutorial walks customers through the process of using an R script to extract data from Azure SQL, then calling the Azure ML web service to score the data and write the output back to the SQL database.

Can Artificial Intelligence Help Save eBay? By The Street For eBay (EBAY), artificial intelligence could prove to be its salvation. The San Jose, Calif.-based e-commerce giant, which has been working to transform itself after spinning off PayPal Holdings (PYPL) last year, could reap some huge benefits if it can find out a way to effectively use AI, according to analysts. At the Code Conference earlier this month, eBay CEO Devin Wenig revealed that the company started getting very serious about using artificial intelligence last year, noting that e-commerce is essentially a data business and that AI may be more important for eBay than its peers due to the "breadth of its inventory." Wenig further explained that eBay plans to formulate a strategy focused on using data to predict what consumers might want and offering a wide selection of products.

Learning needs to be less like memorization, and more like… Angry Birds. Half of school dropouts name boredom as the No. 1 reason they left. The blog is about why the future of education will be about flipping our current model on its head and about how key exponential technologies like AI, VR and gamification are going to drive a revolution in education. In the traditional education system, you start at an "A." And every time you get something wrong, your score gets lower and lower.

Google's DeepMind has conquered some big artificial intelligence challenges in its day, such as defeating Go's world champion and navigating mazes through virtual sight. However, one of its accomplishments is decidedly unusual: it learned how to play soccer (aka football) with a digital ant. It looks cute, but it's really a profound test of DeepMind's asynchronous, reinforcement-based learning process. The AI has to not only learn how to move the ant without any prior understanding of its mechanics, but to kick the ball into a goal. Imagine if you had to learn how to run while playing your first-ever match -- that's how complex this is.

"I think being radical is the only way of doing things, because slow iteration doesn't really work." Claned Co-founder Vesa Perala believes that instead of attempting to retrofit technology to out-dated educational systems, EdTech start-ups should be helping to write a new rulebook. "Our pitch pretty much begins with education reform. The starting point is that the Finnish schooling system might be perceived as being the best in the world, but we're still overhauling it," he says. For the past 3 years, Claned has been in what he describes as semi-stealth mode, focusing on developing a robust artificial intelligence system that uses machine-learning algorithms to map out what factors most impact individual learning.

Kaggle competitions are a fantastic way to learn data science and build your portfolio. I personally used Kaggle to learn many data science concepts. I started out with Kaggle a few months after learning programming, and later won several competitions. Doing well in a Kaggle competition requires more than just knowing machine learning algorithms. It requires the right mindset, the willingness to learn, and a lot of data exploration. Many of these aspects aren't typically emphasized in tutorials on getting started with Kaggle, though. In this post, I'll cover how to get started with the Kaggle Expedia hotel recommendations competition, including establishing the right mindset, setting up testing infrastructure, exploring the data, creating features, and making predictions.